Browsing Faculty of Business and Law by Author "Tavana, M."
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A bounded data envelopment analysis model in a fuzzy environment with an application to safety in the semiconductor industry
HatamiMarbini, A.; Tavana, M.; Gholami, K.; Ghelej Beigi, Z. (Article)Data envelopment analysis (DEA) is a mathematical programming approach for evaluating the relative efficiency of decision making units (DMUs) in organizations. The conventional DEA methods require accurate measurement of ... 
A common set of weight approach using an ideal decision making unit in data envelopment analysis
Saati, S.; HatamiMarbini, A.; Agrell, P. J.; Tavana, M. (Article)Data envelopment analysis (DEA) is a common nonparametric frontier analysis method. The multiplier framework of DEA allows flexibility in the selection of endogenous input and output weights of decision making units (DMUs) ... 
A commonweights DEA model for centralized resource reduction and target setting
Data Envelopment Analysis (DEA) is a powerful tool for measuring the relative efficiency for a set of Decision Making Units (DMUs) that transform multiple inputs into multiple outputs. In centralized decisionmaking systems, ... 
A data envelopment analysis model with discretionary and nondiscretionary factors in fuzzy environments
Saati, S.; HatamiMarbini, A.; Tavana, M. (Article)Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decisionmaking units (DMUs) that use multiple inputs to produce multiple outputs. The standard DEA models assume that ... 
Data envelopment analysis with fuzzy parameters: An interactive approach
HatamiMarbini, A.; Saati, S.; Tavana, M. (Article)Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs. In the conventional DEA, all the data ... 
Data envelopment analysis with fuzzy parameters: An interactive approach
HatamiMarbini, A.; Saati, S.; Tavana, M. (Book chapter)Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs. In the conventional DEA, all the data ... 
Data envelopment analysis: An efficient duo linear programming approach
Saati, S.; HatamiMarbini, A.; Tavana, M. (Article)Data envelopment analysis (DEA) is a powerful mathematical method that utilises linear programming (LP) to determine the relative efficiencies of a set of functionally similar decisionmaking units (DMUs). Evaluating the ... 
Efficiency measurement in fuzzy additive data envelopment analysis
HatamiMarbini, A.; Tavana, M.; Emrouznejad, A.; Saati, S. (Article)Performance evaluation in conventional data envelopment analysis (DEA) requires crisp numerical values. However, the observed values of the input and output data in realworld problems are often imprecise or vague. These ... 
An extended compromise ratio method for fuzzy group multiattribute decision making with SWOT analysis
HatamiMarbini, A.; Tavana, M.; Hajipour, V.; Kangi, F.; Kazemi, A. (Article)The technique for order preference by similarity to ideal solution (TOPSIS) is a wellknown multiattribute decision making (MADM) method that is used to identify the most attractive alternative solution among a finite set ... 
Extended symmetric and asymmetric weight assignment methods in data envelopment analysis
Dual weight restrictions are commonly suggested as a remedy to the problem of low discriminatory power and absurd marginal prices in conventional Data Envelopment Analysis (DEA) models. However, weight restriction models ... 
An extension of the Electre I method for group decisionmaking under a fuzzy environment
HatamiMarbini, A.; Tavana, M. (Article)Many realworld decision problems involve conflicting systems of criteria, uncertainty and imprecise information. Some also involve a group of decision makers (DMs) where a reduction of different individual preferences on ... 
An extension of the linear programming method with fuzzy parameters
HatamiMarbini, A.; Tavana, M. (Article)In a recent paper, Jiménez et al. (2007) propose a ‘general’ and ‘interactive’ method for solving linear programming problems with fuzzy parameters. In this study, we propose a revision to the optimal crisp value of the ... 
A flexible crossefficiency fuzzy data envelopment analysis model for sustainable sourcing
HatamiMarbini, A.; Agrell, P. J.; Tavana, M.; Khoshnevis, P. (Article)Sustainable sourcing is a recent priority for firms considering customer behavior and societal norms with respect to the supply chain. Customer attitudes, particularly in the developed countries, are affected by the perceived ... 
A fully fuzzified data envelopment analysis model
HatamiMarbini, A.; Tavana, M.; Ebrahimi, A. (Article)In the conventional data envelopment analysis (DEA), all the data assumes the form of crisp numerical values. However, the observed values of the input and output data in realworld problems are sometimes imprecise or ... 
A fuzzy data envelopment analysis for clustering operating units with imprecise data
Saati, S.; HatamiMarbini, A.; Tavana, M.; Agrell, P. J. (Article)Data envelopment analysis (DEA) is a nonparametric method for measuring the efficiency of peer operating units that employ multiple inputs to produce multiple outputs. Several DEA methods have been proposed for clustering ... 
A fuzzy group Electre method for safety and health assessment in hazardous waste recycling facilities
HatamiMarbini, A.; Tavana, M.; Moradi, M.; Kangi, F. (Article)Decision making in environmental problems is a complex task due to multiple and often conflicting criteria, varying measurements, qualitative and quantitative input parameters, and lack of exact data. In this paper, we ... 
A fuzzy group linear programming technique for multidimensional analysis of preference
HatamiMarbini, A.; Tavana, M.; Saati, S.; Kangi, F. (Article)Although crisp data are fundamentally indispensable in the conventional linear programming technique for multidimensional analysis of preference (LINMAP), the observed values in the realworld problems are often imprecise ... 
A fuzzy linear programming model with fuzzy parameters and decision variables
Saati, S.; Tavana, M.; HatamiMarbini, A.; Hajiakhondi, E. (Article)Linear programming (LP) is an optimisation technique most widely used for optimal allocation of limited resources amongst competing activities. Precise data are fundamentally indispensable in standard LP problems. However, ... 
Fuzzy stochastic data envelopment analysis with application to Base Realignment and Closure (BRAC)
Tavana, M.; Shiraz, R. K.; HatamiMarbini, A.; Agrell, P. J.; Paryab, K. (Article)Data envelopment analysis (DEA) is a nonparametric method for evaluating the relative efficiency of decisionmaking units (DMUs) on the basis of multiple inputs and outputs. Conventional DEA models assume that inputs and ...